Delivery Dataset EDA

Dataset statistics

Number of variables	20
Number of observations	1320
Missing cells	198
Missing cells (%)	0.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	206.4 KiB
Average record size in memory	160.1 B

Variable types

Text	2
Categorical	6
Numeric	10
DateTime	2

Alerts

`Energy Consumed (kWh)` has 66 (5.0%) missing values	Missing
`Charging Rate (kW)` has 66 (5.0%) missing values	Missing
`Distance Driven (since last charge) (km)` has 66 (5.0%) missing values	Missing
`User ID` has unique values	Unique
`Charging Start Time` has unique values	Unique
`Charging Duration (hours)` has unique values	Unique
`Charging Cost (USD)` has unique values	Unique
`State of Charge (Start %)` has unique values	Unique
`State of Charge (End %)` has unique values	Unique
`Temperature (°C)` has unique values	Unique
`Vehicle Age (years)` has 143 (10.8%) zeros	Zeros

Reproduction

Analysis started	2024-10-07 11:38:28.307568
Analysis finished	2024-10-07 11:38:41.717853
Duration	13.41 seconds
Software version	ydata-profiling v4.8.3
Download configuration	config.json

User ID
Text

UNIQUE

Distinct	1320
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	10.4 KiB

Length

Max length	9
Median length	8
Mean length	8.1613636
Min length	6

Characters and Unicode

Total characters	10773
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1320 ?
Unique (%)	100.0%

Sample

1st row	User_1
2nd row	User_2
3rd row	User_3
4th row	User_4
5th row	User_5

Value	Count	Frequency (%)
user_1	1	0.1%
user_3	1	0.1%
user_5	1	0.1%
user_6	1	0.1%
user_7	1	0.1%
user_8	1	0.1%
user_9	1	0.1%
user_10	1	0.1%
user_11	1	0.1%
user_12	1	0.1%
Other values (1310)	1310	99.2%

Most occurring characters

Value	Count	Frequency (%)
U	1320	12.3%
s	1320	12.3%
e	1320	12.3%
r	1320	12.3%
_	1320	12.3%
1	793	7.4%
2	463	4.3%
3	383	3.6%
8	362	3.4%
7	362	3.4%
Other values (5)	1810	16.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10773	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
U	1320	12.3%
s	1320	12.3%
e	1320	12.3%
r	1320	12.3%
_	1320	12.3%
1	793	7.4%
2	463	4.3%
3	383	3.6%
8	362	3.4%
7	362	3.4%
Other values (5)	1810	16.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10773	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
U	1320	12.3%
s	1320	12.3%
e	1320	12.3%
r	1320	12.3%
_	1320	12.3%
1	793	7.4%
2	463	4.3%
3	383	3.6%
8	362	3.4%
7	362	3.4%
Other values (5)	1810	16.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10773	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
U	1320	12.3%
s	1320	12.3%
e	1320	12.3%
r	1320	12.3%
_	1320	12.3%
1	793	7.4%
2	463	4.3%
3	383	3.6%
8	362	3.4%
7	362	3.4%
Other values (5)	1810	16.8%

Vehicle Model
Categorical

Distinct	5
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	10.4 KiB

Tesla Model 3	280
Hyundai Kona	266
Nissan Leaf	260
BMW i3	258
Chevy Bolt	256

Length

Max length	13
Median length	11
Mean length	10.454545
Min length	6

Characters and Unicode

Total characters	13800
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BMW i3
2nd row	Hyundai Kona
3rd row	Chevy Bolt
4th row	Hyundai Kona
5th row	Hyundai Kona

Common Values

Value	Count	Frequency (%)
Tesla Model 3	280	21.2%
Hyundai Kona	266	20.2%
Nissan Leaf	260	19.7%
BMW i3	258	19.5%
Chevy Bolt	256	19.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
tesla	280	9.6%
model	280	9.6%
3	280	9.6%
hyundai	266	9.1%
kona	266	9.1%
nissan	260	8.9%
leaf	260	8.9%
bmw	258	8.8%
i3	258	8.8%
chevy	256	8.8%

Most occurring characters

Value	Count	Frequency (%)
	1600	11.6%
a	1332	9.7%
e	1076	7.8%
l	816	5.9%
o	802	5.8%
s	800	5.8%
n	792	5.7%
i	784	5.7%
d	546	4.0%
M	538	3.9%
Other values (15)	4714	34.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	13800	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	1600	11.6%
a	1332	9.7%
e	1076	7.8%
l	816	5.9%
o	802	5.8%
s	800	5.8%
n	792	5.7%
i	784	5.7%
d	546	4.0%
M	538	3.9%
Other values (15)	4714	34.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	13800	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	1600	11.6%
a	1332	9.7%
e	1076	7.8%
l	816	5.9%
o	802	5.8%
s	800	5.8%
n	792	5.7%
i	784	5.7%
d	546	4.0%
M	538	3.9%
Other values (15)	4714	34.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	13800	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	1600	11.6%
a	1332	9.7%
e	1076	7.8%
l	816	5.9%
o	802	5.8%
s	800	5.8%
n	792	5.7%
i	784	5.7%
d	546	4.0%
M	538	3.9%
Other values (15)	4714	34.2%

Battery Capacity (kWh)
Real number (ℝ)

Distinct	147
Distinct (%)	11.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	74.534692

Minimum	1.5328065
Maximum	193.00307
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.4 KiB

Quantile statistics

Minimum	1.5328065
5-th percentile	50
Q1	62
median	75
Q3	85
95-th percentile	100
Maximum	193.00307
Range	191.47027
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	20.626914
Coefficient of variation (CV)	0.27674246
Kurtosis	2.4233082
Mean	74.534692
Median Absolute Deviation (MAD)	13
Skewness	0.37344004
Sum	98385.793
Variance	425.46959
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
75	248	18.8%
62	238	18.0%
85	235	17.8%
100	233	17.7%
50	224	17.0%
108.4630074	1	0.1%
43.71913702	1	0.1%
140.7620616	1	0.1%
96.60872071	1	0.1%
73.85002716	1	0.1%
Other values (137)	137	10.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.53280653	1	0.1%
1.536539743	1	0.1%
3.838518074	1	0.1%
3.976596499	1	0.1%
5.189529952	1	0.1%
6.168895844	1	0.1%
7.451954887	1	0.1%
7.714516854	1	0.1%
10.18928677	1	0.1%
12.03333697	1	0.1%

Value	Count	Frequency (%)
193.0030739	1	0.1%
188.6349646	1	0.1%
179.0130578	1	0.1%
174.4096677	1	0.1%
157.5757789	1	0.1%
147.3953543	1	0.1%
143.4752097	1	0.1%
143.2099946	1	0.1%
140.7620616	1	0.1%
140.5136826	1	0.1%

Charging Station ID
Text

Distinct	462
Distinct (%)	35.0%
Missing	0
Missing (%)	0.0%
Memory size	10.4 KiB

Length

Max length	11
Median length	11
Mean length	10.767424
Min length	9

Characters and Unicode

Total characters	14213
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	6.9%

Sample

1st row	Station_391
2nd row	Station_428
3rd row	Station_181
4th row	Station_327
5th row	Station_108

Value	Count	Frequency (%)
station_108	9	0.7%
station_97	7	0.5%
station_74	7	0.5%
station_10	7	0.5%
station_44	7	0.5%
station_461	7	0.5%
station_17	7	0.5%
station_181	6	0.5%
station_336	6	0.5%
station_19	6	0.5%
Other values (452)	1251	94.8%

Most occurring characters

Value	Count	Frequency (%)
t	2640	18.6%
S	1320	9.3%
a	1320	9.3%
i	1320	9.3%
o	1320	9.3%
n	1320	9.3%
_	1320	9.3%
1	546	3.8%
4	533	3.8%
2	524	3.7%
Other values (7)	2050	14.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	14213	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	2640	18.6%
S	1320	9.3%
a	1320	9.3%
i	1320	9.3%
o	1320	9.3%
n	1320	9.3%
_	1320	9.3%
1	546	3.8%
4	533	3.8%
2	524	3.7%
Other values (7)	2050	14.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	14213	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	2640	18.6%
S	1320	9.3%
a	1320	9.3%
i	1320	9.3%
o	1320	9.3%
n	1320	9.3%
_	1320	9.3%
1	546	3.8%
4	533	3.8%
2	524	3.7%
Other values (7)	2050	14.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	14213	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	2640	18.6%
S	1320	9.3%
a	1320	9.3%
i	1320	9.3%
o	1320	9.3%
n	1320	9.3%
_	1320	9.3%
1	546	3.8%
4	533	3.8%
2	524	3.7%
Other values (7)	2050	14.4%

Charging Station Location
Categorical

Distinct	5
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	10.4 KiB

Los Angeles	297
San Francisco	264
Houston	262
New York	255
Chicago	242

Length

Max length	13
Median length	11
Mean length	9.2931818
Min length	7

Characters and Unicode

Total characters	12267
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Houston
2nd row	San Francisco
3rd row	San Francisco
4th row	Houston
5th row	Los Angeles

Common Values

Value	Count	Frequency (%)
Los Angeles	297	22.5%
San Francisco	264	20.0%
Houston	262	19.8%
New York	255	19.3%
Chicago	242	18.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
los	297	13.9%
angeles	297	13.9%
san	264	12.4%
francisco	264	12.4%
houston	262	12.3%
new	255	11.9%
york	255	11.9%
chicago	242	11.3%

Most occurring characters

Value	Count	Frequency (%)
o	1582	12.9%
s	1120	9.1%
n	1087	8.9%
e	849	6.9%
	816	6.7%
a	770	6.3%
c	770	6.3%
g	539	4.4%
r	519	4.2%
i	506	4.1%
Other values (14)	3709	30.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	12267	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	1582	12.9%
s	1120	9.1%
n	1087	8.9%
e	849	6.9%
	816	6.7%
a	770	6.3%
c	770	6.3%
g	539	4.4%
r	519	4.2%
i	506	4.1%
Other values (14)	3709	30.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	12267	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	1582	12.9%
s	1120	9.1%
n	1087	8.9%
e	849	6.9%
	816	6.7%
a	770	6.3%
c	770	6.3%
g	539	4.4%
r	519	4.2%
i	506	4.1%
Other values (14)	3709	30.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	12267	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	1582	12.9%
s	1120	9.1%
n	1087	8.9%
e	849	6.9%
	816	6.7%
a	770	6.3%
c	770	6.3%
g	539	4.4%
r	519	4.2%
i	506	4.1%
Other values (14)	3709	30.2%

Charging Start Time
Date

UNIQUE

Distinct	1320
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	10.4 KiB

Minimum	2024-01-01 00:00:00
Maximum	2024-02-24 23:00:00

Histogram

Histogram with fixed size bins (bins=50)

Charging End Time
Date

Distinct	1309
Distinct (%)	99.2%
Missing	0
Missing (%)	0.0%
Memory size	10.4 KiB

Minimum	2024-01-01 00:39:00
Maximum	2024-02-24 23:56:00

Histogram

Histogram with fixed size bins (bins=50)

Energy Consumed (kWh)
Real number (ℝ)

MISSING

Distinct	1254
Distinct (%)	100.0%
Missing	66
Missing (%)	5.0%
Infinite	0
Infinite (%)	0.0%
Mean	42.642894

Minimum	0.045771842
Maximum	152.23876
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.4 KiB

Quantile statistics

Minimum	0.045771842
5-th percentile	7.7893356
Q1	23.881193
median	42.691405
Q3	61.206218
95-th percentile	76.621048
Maximum	152.23876
Range	152.19299
Interquartile range (IQR)	37.325025

Descriptive statistics

Standard deviation	22.411705
Coefficient of variation (CV)	0.52556715
Kurtosis	-0.59023791
Mean	42.642894
Median Absolute Deviation (MAD)	18.773442
Skewness	0.10208821
Sum	53474.189
Variance	502.2845
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60.71234573	1	0.1%
9.047732107	1	0.1%
78.16770975	1	0.1%
20.17078858	1	0.1%
57.67538256	1	0.1%
68.21934426	1	0.1%
77.45420996	1	0.1%
36.26259614	1	0.1%
51.08539267	1	0.1%
28.78049141	1	0.1%
Other values (1244)	1244	94.2%
(Missing)	66	5.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.04577184228	1	0.1%
0.121143295	1	0.1%
1.330225739	1	0.1%
1.356731547	1	0.1%
1.754520234	1	0.1%
4.288320356	1	0.1%
5.013889647	1	0.1%
5.144893572	1	0.1%
5.163807088	1	0.1%
5.200112601	1	0.1%

Value	Count	Frequency (%)
152.238758	1	0.1%
127.7574744	1	0.1%
103.8126056	1	0.1%
97.66776539	1	0.1%
94.36532941	1	0.1%
90.23550358	1	0.1%
85.03985431	1	0.1%
80.72941928	1	0.1%
79.97807284	1	0.1%
79.97267191	1	0.1%

Charging Duration (hours)
Real number (ℝ)

UNIQUE

Distinct	1320
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.2693774

Minimum	0.095314417
Maximum	7.6351448
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.4 KiB

Quantile statistics

Minimum	0.095314417
5-th percentile	0.67490758
Q1	1.3976234
median	2.2581361
Q3	3.1128064
95-th percentile	3.8279991
Maximum	7.6351448
Range	7.5398303
Interquartile range (IQR)	1.7151829

Descriptive statistics

Standard deviation	1.0610368
Coefficient of variation (CV)	0.46754534
Kurtosis	0.23963333
Mean	2.2693774
Median Absolute Deviation (MAD)	0.85908509
Skewness	0.36130865
Sum	2995.5782
Variance	1.1257991
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.5913634254	1	0.1%
3.443237131	1	0.1%
2.450451566	1	0.1%
2.879571205	1	0.1%
0.8864503814	1	0.1%
3.308261928	1	0.1%
2.012360141	1	0.1%
0.9497561026	1	0.1%
1.967714479	1	0.1%
0.7713119843	1	0.1%
Other values (1310)	1310	99.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.09531441655	1	0.1%
0.1400299896	1	0.1%
0.1543006839	1	0.1%
0.1653938787	1	0.1%
0.182479567	1	0.1%
0.2066308831	1	0.1%
0.3599172409	1	0.1%
0.4218407427	1	0.1%
0.4348899348	1	0.1%
0.4764888585	1	0.1%

Value	Count	Frequency (%)
7.635144759	1	0.1%
6.773095327	1	0.1%
6.75915168	1	0.1%
6.494007043	1	0.1%
6.17641656	1	0.1%
5.945571288	1	0.1%
5.673788713	1	0.1%
5.505495842	1	0.1%
5.444091596	1	0.1%
5.220359375	1	0.1%

Charging Rate (kW)
Real number (ℝ)

MISSING

Distinct	1254
Distinct (%)	100.0%
Missing	66
Missing (%)	5.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.963003

Minimum	1.4725491
Maximum	97.342255
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.4 KiB

Quantile statistics

Minimum	1.4725491
5-th percentile	5.3107282
Q1	13.856583
median	25.603799
Q3	37.502998
95-th percentile	47.750658
Maximum	97.342255
Range	95.869706
Interquartile range (IQR)	23.646415

Descriptive statistics

Standard deviation	14.011326
Coefficient of variation (CV)	0.53966508
Kurtosis	-0.46614924
Mean	25.963003
Median Absolute Deviation (MAD)	11.841471
Skewness	0.24857628
Sum	32557.606
Variance	196.31727
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
14.43474941	1	0.1%
40.42078196	1	0.1%
46.31316025	1	0.1%
14.88435406	1	0.1%
29.41340669	1	0.1%
38.149082	1	0.1%
25.83848785	1	0.1%
40.91079821	1	0.1%
7.446768634	1	0.1%
36.38918057	1	0.1%
Other values (1244)	1244	94.2%
(Missing)	66	5.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.472549139	1	0.1%
1.654937068	1	0.1%
1.722296154	1	0.1%
2.246134508	1	0.1%
2.535237862	1	0.1%
2.560943434	1	0.1%
2.63696679	1	0.1%
2.826146252	1	0.1%
3.023485282	1	0.1%
3.508161487	1	0.1%

Value	Count	Frequency (%)
97.3422547	1	0.1%
74.61279366	1	0.1%
71.62104096	1	0.1%
68.54260187	1	0.1%
67.93467893	1	0.1%
63.21611838	1	0.1%
59.14854489	1	0.1%
57.09975217	1	0.1%
53.1747828	1	0.1%
51.36359325	1	0.1%

Charging Cost (USD)
Real number (ℝ)

UNIQUE

Distinct	1320
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22.551352

Minimum	0.23431699
Maximum	69.407743
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.4 KiB

Quantile statistics

Minimum	0.23431699
5-th percentile	7.052738
Q1	13.368141
median	22.07636
Q3	31.646044
95-th percentile	38.303231
Maximum	69.407743
Range	69.173426
Interquartile range (IQR)	18.277903

Descriptive statistics

Standard deviation	10.751494
Coefficient of variation (CV)	0.47675606
Kurtosis	-0.48734653
Mean	22.551352
Median Absolute Deviation (MAD)	9.1103733
Skewness	0.25091905
Sum	29767.784
Variance	115.59462
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13.08771679	1	0.1%
35.72732643	1	0.1%
37.25540969	1	0.1%
33.67417017	1	0.1%
17.26707379	1	0.1%
5.691471522	1	0.1%
35.14611587	1	0.1%
7.181392583	1	0.1%
25.26991752	1	0.1%
27.52125904	1	0.1%
Other values (1310)	1310	99.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.2343169936	1	0.1%
0.3070854525	1	0.1%
0.6713465052	1	0.1%
1.640802843	1	0.1%
2.348075123	1	0.1%
3.059041507	1	0.1%
3.668584746	1	0.1%
3.707066616	1	0.1%
5.043208361	1	0.1%
5.056096912	1	0.1%

Value	Count	Frequency (%)
69.40774319	1	0.1%
68.93168829	1	0.1%
60.40252537	1	0.1%
58.74667669	1	0.1%
58.25460657	1	0.1%
54.89298253	1	0.1%
49.13746988	1	0.1%
46.27027201	1	0.1%
46.17291744	1	0.1%
46.05917303	1	0.1%

Time of Day
Categorical

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	10.4 KiB

Evening	362
Morning	336
Night	312
Afternoon	310

Length

Max length	9
Median length	7
Mean length	6.9969697
Min length	5

Characters and Unicode

Total characters	9236
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Evening
2nd row	Morning
3rd row	Morning
4th row	Evening
5th row	Morning

Common Values

Value	Count	Frequency (%)
Evening	362	27.4%
Morning	336	25.5%
Night	312	23.6%
Afternoon	310	23.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
evening	362	27.4%
morning	336	25.5%
night	312	23.6%
afternoon	310	23.5%

Most occurring characters

Value	Count	Frequency (%)
n	2016	21.8%
i	1010	10.9%
g	1010	10.9%
o	956	10.4%
e	672	7.3%
r	646	7.0%
t	622	6.7%
E	362	3.9%
v	362	3.9%
M	336	3.6%
Other values (4)	1244	13.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9236	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	2016	21.8%
i	1010	10.9%
g	1010	10.9%
o	956	10.4%
e	672	7.3%
r	646	7.0%
t	622	6.7%
E	362	3.9%
v	362	3.9%
M	336	3.6%
Other values (4)	1244	13.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9236	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	2016	21.8%
i	1010	10.9%
g	1010	10.9%
o	956	10.4%
e	672	7.3%
r	646	7.0%
t	622	6.7%
E	362	3.9%
v	362	3.9%
M	336	3.6%
Other values (4)	1244	13.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9236	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	2016	21.8%
i	1010	10.9%
g	1010	10.9%
o	956	10.4%
e	672	7.3%
r	646	7.0%
t	622	6.7%
E	362	3.9%
v	362	3.9%
M	336	3.6%
Other values (4)	1244	13.5%

Day of Week
Categorical

Distinct	7
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	10.4 KiB

Saturday	205
Tuesday	200
Wednesday	197
Sunday	191
Friday	188
Other values (2)	339

Length

Max length	9
Median length	8
Mean length	7.1431818
Min length	6

Characters and Unicode

Total characters	9429
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Tuesday
2nd row	Monday
3rd row	Thursday
4th row	Saturday
5th row	Saturday

Common Values

Value	Count	Frequency (%)
Saturday	205	15.5%
Tuesday	200	15.2%
Wednesday	197	14.9%
Sunday	191	14.5%
Friday	188	14.2%
Monday	185	14.0%
Thursday	154	11.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
saturday	205	15.5%
tuesday	200	15.2%
wednesday	197	14.9%
sunday	191	14.5%
friday	188	14.2%
monday	185	14.0%
thursday	154	11.7%

Most occurring characters

Value	Count	Frequency (%)
a	1525	16.2%
d	1517	16.1%
y	1320	14.0%
u	750	8.0%
e	594	6.3%
n	573	6.1%
s	551	5.8%
r	547	5.8%
S	396	4.2%
T	354	3.8%
Other values (7)	1302	13.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9429	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	1525	16.2%
d	1517	16.1%
y	1320	14.0%
u	750	8.0%
e	594	6.3%
n	573	6.1%
s	551	5.8%
r	547	5.8%
S	396	4.2%
T	354	3.8%
Other values (7)	1302	13.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9429	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	1525	16.2%
d	1517	16.1%
y	1320	14.0%
u	750	8.0%
e	594	6.3%
n	573	6.1%
s	551	5.8%
r	547	5.8%
S	396	4.2%
T	354	3.8%
Other values (7)	1302	13.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9429	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	1525	16.2%
d	1517	16.1%
y	1320	14.0%
u	750	8.0%
e	594	6.3%
n	573	6.1%
s	551	5.8%
r	547	5.8%
S	396	4.2%
T	354	3.8%
Other values (7)	1302	13.8%

State of Charge (Start %)
Real number (ℝ)

UNIQUE

Distinct	1320
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	49.130012

Minimum	2.325959
Maximum	152.48976
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.4 KiB

Quantile statistics

Minimum	2.325959
5-th percentile	13.90874
Q1	27.786903
median	48.241771
Q3	69.277921
95-th percentile	86.849574
Maximum	152.48976
Range	150.1638
Interquartile range (IQR)	41.491018

Descriptive statistics

Standard deviation	24.074134
Coefficient of variation (CV)	0.49000872
Kurtosis	-0.78437515
Mean	49.130012
Median Absolute Deviation (MAD)	20.589119
Skewness	0.20523917
Sum	64851.616
Variance	579.56393
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
29.37157598	1	0.1%
66.79198382	1	0.1%
31.5569263	1	0.1%
67.4595416	1	0.1%
38.03890271	1	0.1%
80.65255109	1	0.1%
58.31902031	1	0.1%
44.70187213	1	0.1%
86.31805713	1	0.1%
27.2394756	1	0.1%
Other values (1310)	1310	99.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.325958995	1	0.1%
2.481152833	1	0.1%
5.065719156	1	0.1%
6.854604444	1	0.1%
7.174271255	1	0.1%
7.520444727	1	0.1%
10.00881854	1	0.1%
10.11577764	1	0.1%
10.28531461	1	0.1%
10.42770632	1	0.1%

Value	Count	Frequency (%)
152.4897609	1	0.1%
125.0872271	1	0.1%
121.8472807	1	0.1%
119.0511075	1	0.1%
117.656235	1	0.1%
112.4907761	1	0.1%
109.2657943	1	0.1%
105.032224	1	0.1%
102.5758268	1	0.1%
98.33279531	1	0.1%

State of Charge (End %)
Real number (ℝ)

UNIQUE

Distinct	1320
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	75.14159

Minimum	7.6042245
Maximum	177.70867
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.4 KiB

Quantile statistics

Minimum	7.6042245
5-th percentile	51.818356
Q1	62.053266
median	75.682496
Q3	88.20137
95-th percentile	98.23805
Maximum	177.70867
Range	170.10444
Interquartile range (IQR)	26.148104

Descriptive statistics

Standard deviation	17.08058
Coefficient of variation (CV)	0.22731193
Kurtosis	2.3439056
Mean	75.14159
Median Absolute Deviation (MAD)	13.152206
Skewness	0.28203982
Sum	99186.899
Variance	291.7462
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
86.11996244	1	0.1%
76.50410671	1	0.1%
97.82793195	1	0.1%
64.97948546	1	0.1%
62.46309786	1	0.1%
90.08739344	1	0.1%
67.00704756	1	0.1%
82.6285391	1	0.1%
82.64673079	1	0.1%
94.99744371	1	0.1%
Other values (1310)	1310	99.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7.604224498	1	0.1%
10.08007433	1	0.1%
14.98994632	1	0.1%
15.71797517	1	0.1%
18.70034949	1	0.1%
18.83987639	1	0.1%
19.57180031	1	0.1%
21.88022094	1	0.1%
22.27521585	1	0.1%
22.88625804	1	0.1%

Value	Count	Frequency (%)
177.7086665	1	0.1%
159.9889032	1	0.1%
150.7881071	1	0.1%
147.4921301	1	0.1%
146.8476439	1	0.1%
146.7594514	1	0.1%
140.3830477	1	0.1%
139.8974081	1	0.1%
133.6294352	1	0.1%
132.9520105	1	0.1%

Distance Driven (since last charge) (km)
Real number (ℝ)

MISSING

Distinct	1254
Distinct (%)	100.0%
Missing	66
Missing (%)	5.0%
Infinite	0
Infinite (%)	0.0%
Mean	153.59679

Minimum	0.86236133
Maximum	398.36477
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	10.4 KiB

Quantile statistics

Minimum	0.86236133
5-th percentile	23.567687
Q1	79.445335
median	152.25987
Q3	226.07328
95-th percentile	286.39396
Maximum	398.36477
Range	397.50241
Interquartile range (IQR)	146.62795

Descriptive statistics

Standard deviation	86.004987
Coefficient of variation (CV)	0.55994001
Kurtosis	-1.1217648
Mean	153.59679
Median Absolute Deviation (MAD)	73.209761
Skewness	0.090422552
Sum	192610.37
Variance	7396.8577
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
293.6021106	1	0.1%
139.9387004	1	0.1%
221.378324	1	0.1%
238.8650098	1	0.1%
85.38239414	1	0.1%
121.4352927	1	0.1%
286.8427866	1	0.1%
162.4659355	1	0.1%
244.8637199	1	0.1%
114.1895795	1	0.1%
Other values (1244)	1244	94.2%
(Missing)	66	5.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.8623613316	1	0.1%
1.899537885	1	0.1%
2.908369295	1	0.1%
3.824527427	1	0.1%
7.619894391	1	0.1%
10.02829517	1	0.1%
10.44192923	1	0.1%
10.87998409	1	0.1%
10.89843061	1	0.1%
10.93101298	1	0.1%

Value	Count	Frequency (%)
398.3647747	1	0.1%
397.8180926	1	0.1%
384.6905686	1	0.1%
369.8535236	1	0.1%
327.3930934	1	0.1%
324.5247972	1	0.1%
311.6304081	1	0.1%
302.8524897	1	0.1%
299.7598782	1	0.1%
299.6629508	1	0.1%

Temperature (°C)
Real number (ℝ)

UNIQUE

Distinct	1320
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.263591

Minimum	-10.72477
Maximum	73.169588
Zeros	0
Zeros (%)	0.0%
Negative	257
Negative (%)	19.5%
Memory size	10.4 KiB

Quantile statistics

Minimum	-10.72477
5-th percentile	-7.504767
Q1	2.8006638
median	14.630846
Q3	27.98181
95-th percentile	37.899108
Maximum	73.169588
Range	83.894358
Interquartile range (IQR)	25.181146

Descriptive statistics

Standard deviation	14.831216
Coefficient of variation (CV)	0.97167276
Kurtosis	-0.86665225
Mean	15.263591
Median Absolute Deviation (MAD)	12.648445
Skewness	0.14399843
Sum	20147.941
Variance	219.96497
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
27.94795306	1	0.1%
9.262327034	1	0.1%
2.844132918	1	0.1%
3.261647704	1	0.1%
1.815080516	1	0.1%
2.24905517	1	0.1%
-0.495076603	1	0.1%
16.95309452	1	0.1%
37.03618549	1	0.1%
5.291260873	1	0.1%
Other values (1310)	1310	99.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-10.72476975	1	0.1%
-10.65967953	1	0.1%
-9.970262098	1	0.1%
-9.831678296	1	0.1%
-9.825102182	1	0.1%
-9.824642409	1	0.1%
-9.824574766	1	0.1%
-9.733171954	1	0.1%
-9.679928907	1	0.1%
-9.603661067	1	0.1%

Value	Count	Frequency (%)
73.16958797	1	0.1%
69.48593769	1	0.1%
59.93197387	1	0.1%
58.10524584	1	0.1%
50.54394309	1	0.1%
47.31817615	1	0.1%
46.80134173	1	0.1%
45.75334767	1	0.1%
42.73966105	1	0.1%
41.89130689	1	0.1%

Vehicle Age (years)
Real number (ℝ)

ZEROS

Distinct	114
Distinct (%)	8.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.612843

Minimum	0
Maximum	11.688592
Zeros	143
Zeros (%)	10.8%
Negative	0
Negative (%)	0.0%
Memory size	10.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	4
Q3	6
95-th percentile	7
Maximum	11.688592
Range	11.688592
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.3098236
Coefficient of variation (CV)	0.63933683
Kurtosis	-1.0448239
Mean	3.612843
Median Absolute Deviation (MAD)	2
Skewness	0.027449843
Sum	4768.9528
Variance	5.3352851
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7	165	12.5%
6	161	12.2%
5	161	12.2%
3	154	11.7%
4	147	11.1%
0	143	10.8%
1	142	10.8%
2	141	10.7%
0.3556527874	1	0.1%
3.73405531	1	0.1%
Other values (104)	104	7.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	143	10.8%
0.020155741	1	0.1%
0.08859825775	1	0.1%
0.1900469257	1	0.1%
0.2884081107	1	0.1%
0.3556527874	1	0.1%
0.3612151658	1	0.1%
0.4616615532	1	0.1%
0.5240950281	1	0.1%
0.6749470228	1	0.1%

Value	Count	Frequency (%)
11.68859247	1	0.1%
10.63457441	1	0.1%
10.54723654	1	0.1%
9.076121184	1	0.1%
8.018665733	1	0.1%
7.690884188	1	0.1%
7.545586233	1	0.1%
7.51530869	1	0.1%
7.197041544	1	0.1%
7	165	12.5%

Charger Type
Categorical

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	10.4 KiB

Level 1	459
Level 2	431
DC Fast Charger	430

Length

Max length	15
Median length	7
Mean length	9.6060606
Min length	7

Characters and Unicode

Total characters	12680
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	DC Fast Charger
2nd row	Level 1
3rd row	Level 2
4th row	Level 1
5th row	Level 1

Common Values

Value	Count	Frequency (%)
Level 1	459	34.8%
Level 2	431	32.7%
DC Fast Charger	430	32.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
level	890	29.0%
1	459	15.0%
2	431	14.0%
dc	430	14.0%
fast	430	14.0%
charger	430	14.0%

Most occurring characters

Value	Count	Frequency (%)
e	2210	17.4%
	1750	13.8%
L	890	7.0%
v	890	7.0%
l	890	7.0%
C	860	6.8%
a	860	6.8%
r	860	6.8%
1	459	3.6%
2	431	3.4%
Other values (6)	2580	20.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	12680	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	2210	17.4%
	1750	13.8%
L	890	7.0%
v	890	7.0%
l	890	7.0%
C	860	6.8%
a	860	6.8%
r	860	6.8%
1	459	3.6%
2	431	3.4%
Other values (6)	2580	20.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	12680	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	2210	17.4%
	1750	13.8%
L	890	7.0%
v	890	7.0%
l	890	7.0%
C	860	6.8%
a	860	6.8%
r	860	6.8%
1	459	3.6%
2	431	3.4%
Other values (6)	2580	20.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	12680	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	2210	17.4%
	1750	13.8%
L	890	7.0%
v	890	7.0%
l	890	7.0%
C	860	6.8%
a	860	6.8%
r	860	6.8%
1	459	3.6%
2	431	3.4%
Other values (6)	2580	20.3%

User Type
Categorical

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	10.4 KiB

Commuter	476
Long-Distance Traveler	437
Casual Driver	407

Length

Max length	22
Median length	13
Mean length	14.176515
Min length	8

Characters and Unicode

Total characters	18713
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Commuter
2nd row	Casual Driver
3rd row	Commuter
4th row	Long-Distance Traveler
5th row	Long-Distance Traveler

Common Values

Value	Count	Frequency (%)
Commuter	476	36.1%
Long-Distance Traveler	437	33.1%
Casual Driver	407	30.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
commuter	476	22.0%
long-distance	437	20.2%
traveler	437	20.2%
casual	407	18.8%
driver	407	18.8%

Most occurring characters

Value	Count	Frequency (%)
e	2194	11.7%
r	2164	11.6%
a	1688	9.0%
m	952	5.1%
t	913	4.9%
o	913	4.9%
C	883	4.7%
u	883	4.7%
n	874	4.7%
s	844	4.5%
Other values (10)	6405	34.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18713	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	2194	11.7%
r	2164	11.6%
a	1688	9.0%
m	952	5.1%
t	913	4.9%
o	913	4.9%
C	883	4.7%
u	883	4.7%
n	874	4.7%
s	844	4.5%
Other values (10)	6405	34.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18713	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	2194	11.7%
r	2164	11.6%
a	1688	9.0%
m	952	5.1%
t	913	4.9%
o	913	4.9%
C	883	4.7%
u	883	4.7%
n	874	4.7%
s	844	4.5%
Other values (10)	6405	34.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18713	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	2194	11.7%
r	2164	11.6%
a	1688	9.0%
m	952	5.1%
t	913	4.9%
o	913	4.9%
C	883	4.7%
u	883	4.7%
n	874	4.7%
s	844	4.5%
Other values (10)	6405	34.2%

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	User ID	Vehicle Model	Battery Capacity (kWh)	Charging Station ID	Charging Station Location	Charging Start Time	Charging End Time	Energy Consumed (kWh)	Charging Duration (hours)	Charging Rate (kW)	Charging Cost (USD)	Time of Day	Day of Week	State of Charge (Start %)	State of Charge (End %)	Distance Driven (since last charge) (km)	Temperature (°C)	Vehicle Age (years)	Charger Type	User Type
0	User_1	BMW i3	108.463007	Station_391	Houston	2024-01-01 00:00:00	2024-01-01 00:39:00	60.712346	0.591363	36.389181	13.087717	Evening	Tuesday	29.371576	86.119962	293.602111	27.947953	2.000000	DC Fast Charger	Commuter
1	User_2	Hyundai Kona	100.000000	Station_428	San Francisco	2024-01-01 01:00:00	2024-01-01 03:01:00	12.339275	3.133652	30.677735	21.128448	Morning	Monday	10.115778	84.664344	112.112804	14.311026	3.000000	Level 1	Casual Driver
2	User_3	Chevy Bolt	75.000000	Station_181	San Francisco	2024-01-01 02:00:00	2024-01-01 04:48:00	19.128876	2.452653	27.513593	35.667270	Morning	Thursday	6.854604	69.917615	71.799253	21.002002	2.000000	Level 2	Commuter
3	User_4	Hyundai Kona	50.000000	Station_327	Houston	2024-01-01 03:00:00	2024-01-01 06:42:00	79.457824	1.266431	32.882870	13.036239	Evening	Saturday	83.120003	99.624328	199.577785	38.316313	1.000000	Level 1	Long-Distance Traveler
4	User_5	Hyundai Kona	50.000000	Station_108	Los Angeles	2024-01-01 04:00:00	2024-01-01 05:46:00	19.629104	2.019765	10.215712	10.161471	Morning	Saturday	54.258950	63.743786	203.661847	-7.834199	1.000000	Level 1	Long-Distance Traveler
5	User_6	Nissan Leaf	50.000000	Station_335	San Francisco	2024-01-01 05:00:00	2024-01-01 07:10:00	43.181137	1.167640	14.334523	36.900341	Evening	Saturday	75.217748	71.982288	143.680046	-5.274218	0.000000	DC Fast Charger	Long-Distance Traveler
6	User_7	Chevy Bolt	85.000000	Station_162	Houston	2024-01-01 06:00:00	2024-01-01 07:53:00	36.862140	3.539619	26.185188	22.214225	Evening	Friday	60.751781	70.796097	81.338009	27.551335	4.000000	Level 2	Commuter
7	User_8	Chevy Bolt	75.000000	Station_302	Los Angeles	2024-01-01 07:00:00	2024-01-01 10:42:00	51.467617	2.655396	26.702908	9.796821	Afternoon	Monday	56.201703	63.786815	116.543166	-4.417460	0.000000	Level 2	Long-Distance Traveler
8	User_9	Chevy Bolt	62.000000	Station_493	Los Angeles	2024-01-01 08:00:00	2024-01-01 09:21:00	43.592372	1.724204	14.294923	32.465005	Evening	Wednesday	33.466200	92.961421	208.259742	22.516706	4.000000	Level 1	Commuter
9	User_10	Hyundai Kona	50.000000	Station_452	Chicago	2024-01-01 09:00:00	2024-01-01 12:44:00	78.868607	2.026875	11.761000	21.312302	Morning	Wednesday	27.399455	70.053381	54.006309	27.512019	2.830381	DC Fast Charger	Commuter

	User ID	Vehicle Model	Battery Capacity (kWh)	Charging Station ID	Charging Station Location	Charging Start Time	Charging End Time	Energy Consumed (kWh)	Charging Duration (hours)	Charging Rate (kW)	Charging Cost (USD)	Time of Day	Day of Week	State of Charge (Start %)	State of Charge (End %)	Distance Driven (since last charge) (km)	Temperature (°C)	Vehicle Age (years)	Charger Type	User Type
1310	User_1311	Tesla Model 3	62.000000	Station_268	New York	2024-02-24 14:00:00	2024-02-24 17:50:00	66.979908	0.775663	13.787151	38.833010	Afternoon	Saturday	64.126073	94.364933	NaN	36.432088	1.0	Level 2	Casual Driver
1311	User_1312	Hyundai Kona	50.000000	Station_13	Houston	2024-02-24 15:00:00	2024-02-24 18:53:00	74.276701	2.849151	25.073544	38.194006	Night	Tuesday	41.344062	50.412341	194.793544	7.731967	3.0	Level 2	Commuter
1312	User_1313	Nissan Leaf	75.000000	Station_120	Houston	2024-02-24 16:00:00	2024-02-24 18:54:00	39.733853	1.249296	21.395606	19.413665	Morning	Tuesday	55.863615	85.122262	NaN	24.108953	0.0	Level 1	Casual Driver
1313	User_1314	Tesla Model 3	129.350616	Station_458	Chicago	2024-02-24 17:00:00	2024-02-24 19:35:00	60.725144	2.365991	10.491921	11.289733	Night	Saturday	41.856825	94.097883	279.552278	-1.369994	3.0	Level 2	Long-Distance Traveler
1314	User_1315	Hyundai Kona	50.000000	Station_353	New York	2024-02-24 18:00:00	2024-02-24 19:58:00	43.251453	2.501809	63.216118	36.356930	Morning	Monday	62.108672	65.198895	220.281863	1.630850	5.0	Level 1	Long-Distance Traveler
1315	User_1316	Nissan Leaf	100.000000	Station_57	New York	2024-02-24 19:00:00	2024-02-24 20:30:00	42.011654	1.426444	5.895475	22.081164	Evening	Sunday	39.204102	83.915952	239.601075	1.919655	7.0	DC Fast Charger	Commuter
1316	User_1317	BMW i3	100.000000	Station_40	New York	2024-02-24 20:00:00	2024-02-24 20:44:00	68.185853	3.238212	18.388012	5.067806	Evening	Tuesday	31.456375	93.096461	164.376022	34.029775	4.0	Level 2	Casual Driver
1317	User_1318	Nissan Leaf	100.000000	Station_374	New York	2024-02-24 21:00:00	2024-02-24 23:03:00	18.895102	3.267122	45.482066	37.255002	Evening	Tuesday	71.903081	78.678879	226.519258	20.358761	5.0	DC Fast Charger	Commuter
1318	User_1319	Chevy Bolt	85.000000	Station_336	San Francisco	2024-02-24 22:00:00	2024-02-24 23:20:00	13.756252	2.754527	38.148183	39.046146	Afternoon	Sunday	76.187997	65.926573	291.494076	24.134598	5.0	Level 2	Commuter
1319	User_1320	Nissan Leaf	120.447195	Station_128	Los Angeles	2024-02-24 23:00:00	2024-02-24 23:56:00	63.652570	3.740970	33.704226	10.863674	Evening	Monday	59.338076	56.692439	14.449236	-6.966593	5.0	DC Fast Charger	Commuter

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category